Evaluation of Landscape Water Bodies using Fuzzy Cluster and Multivariate Statistical Techniques
The fuzzy cluster and different multivariate statistical techniques were used to evaluate landscape water bodies (LWB) of Wenzhou using data sets of 7 different sites. The fuzzy cluster and hierarchical cluster analysis grouped seven sampling sites into three clusters i.e. highly pollution level (HPL), medium pollution level (MPL) and less pollution level (LPL) sites based on the similarity of water quality characteristics. The factor analysis showed that factorl included BOD, COD, TP and NH4-N, whereas factorl included Chla. The order of general pollution in LVVB was Chasan north River, Chasan south River, Wenshiyuan River, Maanchi Park, Zhongsan Park, Jiusan Park and Xiusan Park. The results of fuzzy cluster and hierarchical cluster analysis are in good agreement with the discriminant analysis. The fuzzy cluster and multivariate statistical techniques are useful tools of data mining for evaluation and classification of landscape water bodies and may be applicable to analysis and assessment of other surface water.
fuzzy cluster multivariate statistical techniques factor analysis hierarchical cluster analysis landscape water bodies
Xiaodan Wang Qi Wang
Key Laboratory of the Three Gorges Reservoir Regions Eco-Environment,Ministry of Education Chongqin School of Life and Environmental Sciences Wenzhou University Wenzhou,China
国际会议
上海
英文
630-633
2009-11-20（万方平台首次上网日期，不代表论文的发表时间）